Foreword
High-throughput technologies (e.g. microarray and mass spectrometry) and clinical diagnostic tools (e.g. medical imaging) are producing an increasing amount of experimental and clinical data, yielding to the so called age of Big Data in Biosciences. In such a scenario, large scale databases and bioinformatics tools are key tools for organizing and exploring biological and biomedical data with the aim to discover new knowledge in biology and medicine. However the storage, preprocessing and analysis of experimental data is becoming the main bottleneck of the biomedical analysis pipeline.
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Keywords
- Cloud Computing
- Parallel Implementation
- Independent Component Analysis
- Biomedical Data
- Large Scale Database
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© 2013 Springer-Verlag Berlin Heidelberg
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Cannataro, M. (2013). HiBB 2012: 3rd Workshop on High Performance Bioinformatics and Biomedicine. In: Caragiannis, I., et al. Euro-Par 2012: Parallel Processing Workshops. Euro-Par 2012. Lecture Notes in Computer Science, vol 7640. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36949-0_24
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DOI: https://doi.org/10.1007/978-3-642-36949-0_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36948-3
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